9 senior machine learning scientist jobs found

Job Description The Marketing Applied Sciences team is responsible for developing analytics-driven solutions to help GM Marketing Organizations achieve their business goals. The Senior Data Scientist will work as part of this multi-disciplinary team that will be driving solution design, development, and deployment of analytic models in support of marketing strategies. They are knowledgeable in methodology and practice of marketing analytics with an emphasis on inferential and prescriptive methods. This individual has experience with website, email, and media measurement. This person will work closely with teammates in Marketing Applied Sciences and stakeholders in GM's Marketing organization to ensure objective performance evaluation and optimization of media strategy. This senior data scientist will assist in the research and development of advanced marketing models, drawing insights, and creating scalable products across owned & paid channels. They will be part of a...

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Science Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive...

Apply for Job Job ID371363 LocationTwin Cities Job FamilyResearch Full/Part TimeFull-Time Regular/TemporaryRegular Job Code9791RL Employee ClassAcad Prof and Admin Add to Favorite Jobs Email this Job About the Job The Institute for Rock Magnetism (IRM) is a National Multi-user Facility funded by the U.S. National Science Foundation and the University of Minnesota (UMN), which serves researchers using rock, paleo-, and geomagnetic techniques in the advancement of a broad range of disciplines, including geoscience, geophysics, planetary science, archaeology and anthropology, materials science, physics, biology, and engineering. The instruments maintained at the IRM and the expertise of IRM staff attract a steady flow of domestic and international researchers and are also available to UMN faculty and students. This position contributes to the operation of the IRM (80%), including maintaining and developing the IRM's array of instrumentation and database infrastructure, facilitating...

You will support Data Science and Engineering teams by automating CI/CD pipelines and managing multi-cloud infrastructure for ML production. You will develop reusable, configuration-driven frameworks to improve data pipelines while collaborating across a diverse DevOps culture to evolve enterprise-scale big data applications. You will report to a Senior Manager, Engineering. You will be expected to work a minimum of 10 days per month from the office. Candidates should reside within approximately 35-50 miles of one of the following office locations: Madison, WI 53783; Boston, MA 02110; Denver, CO 80112; Eden Prairie, MN 55343; Keene, NH 03431; St. Joseph, MO 64507; Phoenix, AZ 85034. Internal candidates are encouraged to apply regardless of location and will be considered based upon the needs of the role. #LI-Hybrid Candidates who require sponsorship will not be considered for this position. Position Compensation Range: $80,000.00 - $131,000.00 Pay Rate Type: Salary...

The Data Scientist designs, develops, and deploys advanced analytics and machine learning models to improve healthcare outcomes and operational efficiency within healthcare SaaS platforms. This role collaborates with cross-functional teams to analyze complex datasets, generate actionable insights, and integrate data-driven solutions into secure, scalable, and compliant cloud-native environments. The Data Scientist is responsible for driving innovation in statistical modeling, ensuring responsible AI practices, and supporting the adoption of modern data engineering and visualization best practices.   Key Responsibilities: 1. Advanced Machine Learning & AI Engineering Design, develop, and optimize supervised, unsupervised, and reinforcement learning models. Implement and fine-tune deep learning architectures using frameworks such as TensorFlow and PyTorch. Apply ethical AI principles, including fairness, transparency, privacy, and bias...

Overview At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Physical and Computational Sciences Directorate's (PCSD's) strengths in experimental, computational, and theoretical chemistry and materials science, together with our advanced computing, applied mathematics and data science capabilities, are central to the discovery mission we embrace at PNNL. But our most important resource is our people-experts across the range of scientific disciplines who team together to take...

Summary: Meta Infrastructure Product Management Leaders work with cross-functional teams of engineers and data scientists in both Infra and across Meta's Product Groups to build products and conduct critical problem solving in service of our business goals. We are looking for extremely entrepreneurial Product Management Leaders to help innovate and execute product initiatives across the company and value moving quickly. Required Skills: Infrastructure Product Manager (Leadership) Responsibilities: Proactively identify the important problems to solve (e.g. competitively, strategically, for customers, and in support of company goals) Build a coherent strategy and roadmap for addressing these issues with measurable objectives Facilitate the flow of information between everyone involved and create consensus around a vision, priorities and decisions Drive, track, and document progress against roadmaps Define a high standard of quality for product area and...

Overview At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex,?real-world?threats to our nation and the world. The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working...

Overview At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex,?real-world?threats to our nation and the world. The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working...